Most of our Whanganui engagements start the same way: a 20-minute call where the owner describes a workflow we've heard before in shape but never in detail. MCP integrations is then designed against the detail, not the shape.
Built and supported here - the way a Whanganui business would actually use it.
Our goal is to give Whanganui businesses a three-day weekend, so people can spend more time with their families and the people they love :)
What MCP integrations actually does
Wire Claude, ChatGPT, or Gemini directly into your tools with the Model Context Protocol. Your team uses AI in their existing inbox, CRM, or chat - with your data, your permissions, your guardrails.
- 01 Custom MCP servers for your CRM, ERP, or in-house tools
- 02 Permission-aware so AI only sees what each user can
- 03 Tool-call audit log for compliance
- 04 Works with Claude Desktop, ChatGPT, Cursor, and more
Built on: MCP Claude TypeScript Vercel
Without Kiwi Dynamics
With Kiwi Dynamics
What you actually get
Every engagement is scoped and quoted up front. This is what is in the box.
- A working pilot, in productionNot a prototype on someone's laptop. The first slice of MCP integrations runs against real work within weeks.
- Your data stays yoursIt runs on your accounts and your tools. If we part ways you keep the system and everything in it.
- The workflow mapped before codeWe write down what good looks like for Whanganui businesses first, so nobody is guessing at handover.
- Support after it landsThe people who built it stay reachable when the business changes shape around it.
How MCP integrations compares
The two things most businesses do instead, and where each one runs out.
| Hiring for it | An off-the-shelf tool | Kiwi Dynamics | |
|---|---|---|---|
| Fit to how you work | Fits perfectly, costs a salary | You bend your process to suit the tool | Built around the workflow you already run |
| Time to something useful | Immediate, and permanent | Quick to switch on, slow to make fit | A working slice in weeks, then hardened |
| Who owns the data | You do | The vendor, on the vendor's terms | You do, in your own accounts |
| When it breaks | That person sorts it, if they are in | A support queue and a ticket number | The people who built it |
| What it costs | A salary, every year, forever | Per seat, forever, used or not | Scoped and quoted up front |
The Whanganui context, plainly.
- Whanganui blends creative scene, river-led tourism, and steady local trades - AI here helps small operators run lighter and reach further.
- Tourism, creative industries, and a growing remote-work population. AI tools that scale a small team's reach without enterprise overhead win.
We work with teams across Whanganui: Whanganui CBD · Castlecliff · Aramoho · Marton · Bulls.
Talk to us about this →
How we build MCP integrations for a Whanganui team.
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Whanganui business, so value lands before the build is finished. Connect Claude to your stack.
Talk to usHow the work runs
- Find the one workflowWe look for the job costing Whanganui businesses the most hours or the most leads, and deliberately ignore the rest for now.
- Ship a working sliceA narrow version goes into production in weeks, against real work, so the value shows up before the build is finished.
- Prove it, then widenWe measure it against what the work cost before. If it does not pay for itself, we say so rather than scaling it.
- Harden and hand overLogging, fallbacks and a real handover, so it keeps running when we are not in the room.
The outcome for Whanganui teams
The shape of the result for Whanganui teams: Existing AI tools become 10x more useful with real business context. Built on MCP, hardened with the rest of the stack as it scales.
Not your typical AI agency.
Honest about what AI can and cannot do
Ships the one workflow that pays for itself
Hours given back, never the size of the invoice
*Every engagement is scoped and quoted up front. Results vary by workflow and business.
FAQ
How long does MCP integrations take to ship for Whanganui businesses?
We aim for a working pilot inside 4-6 weeks - narrow scope, real Whanganui businesses data, measurable outcome. From there it's another 6-8 weeks of hardening before you'd consider it production. Full rollouts (multiple sites, multiple teams) typically land in 3-4 months.
Are there hidden costs we should plan for?
Three to know about: model/API spend (which we set up under your own account, not ours, so you see and control it), any new SaaS subscriptions we recommend, and your team's time during rollout. We surface all three in the quote so there are no surprises.
Anyone else in this space using MCP integrations?
Plenty. Existing AI tools become 10x more useful with real business context. The interesting question is rarely "does it work" - it's "is your team ready to use the output." That's what we'd scope on the call.
Who owns the code and the model setup?
You do, on delivery. We deploy MCP integrations into your own cloud account where possible, with the model setup, prompts, evals and integration code all checked into a repo you own. MCP sits in your account too - we don't operate it from ours.
Talk to us about this
Tell us what you're trying to do and we'll reply with how we'd build it - no obligation.